Triple
T9184096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Elizabeth’s School, Barnet |
E220408
|
entity |
| Predicate | usesHouseSystem |
P12424
|
FINISHED |
| Object | yes |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: yes | Statement: [Queen Elizabeth’s School, Barnet, usesHouseSystem, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesHouseSystem Context triple: [Queen Elizabeth’s School, Barnet, usesHouseSystem, yes]
-
A.
hasHouseSystem
chosen
Indicates that one entity possesses, uses, or is associated with a particular house system.
-
B.
usesHouseStyle
Indicates that one entity follows or applies the specific house style (a defined set of stylistic or formatting conventions) associated with another entity.
-
C.
hasHouseWithin
Indicates that one entity possesses or is associated with a house that is located within the spatial or administrative boundaries of another entity.
-
D.
hasHouse
Indicates that one entity possesses, owns, or is provided with a house in relation to another entity.
-
E.
hasHouseholdFeature
Indicates that a household possesses or includes a specific feature, attribute, or amenity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca83e6d77c81909862b7afef56b1bf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccc31734908190b8ebe3b57849ca5f |
completed | April 1, 2026, 7:02 a.m. |
| PD | Predicate disambiguation | batch_69cc66090e5881908889dc1213815626 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:24 p.m.